Pandas Profiling Report

Dataset statistics

Number of variables	47
Number of observations	39786
Missing cells	0
Missing cells (%)	0.0%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	13.7 MiB
Average record size in memory	362.3 B

Variable types

Numeric	25
Categorical	20
Boolean	2

Warnings

`pymnt_plan` has constant value "False"	Constant
`initial_list_status` has constant value "False"	Constant
`collections_12_mths_ex_med` has constant value "0.0"	Constant
`application_type` has constant value "INDIVIDUAL"	Constant
`chargeoff_within_12_mths` has constant value "0.0"	Constant
`delinq_amnt` has constant value "0"	Constant
`tax_liens` has constant value "0.0"	Constant
`issue_d` has a high cardinality: 55 distinct values	High cardinality
`zip_code` has a high cardinality: 823 distinct values	High cardinality
`earliest_cr_line` has a high cardinality: 526 distinct values	High cardinality
`last_pymnt_d` has a high cardinality: 109 distinct values	High cardinality
`last_credit_pull_d` has a high cardinality: 114 distinct values	High cardinality
`id` is highly correlated with `member_id`	High correlation
`member_id` is highly correlated with `id`	High correlation
`loan_amnt` is highly correlated with `funded_amnt` and 6 other fields	High correlation
`funded_amnt` is highly correlated with `loan_amnt` and 6 other fields	High correlation
`funded_amnt_inv` is highly correlated with `loan_amnt` and 6 other fields	High correlation
`int_rate` is highly correlated with `total_rec_int`	High correlation
`installment` is highly correlated with `loan_amnt` and 6 other fields	High correlation
`open_acc` is highly correlated with `total_acc`	High correlation
`pub_rec` is highly correlated with `pub_rec_bankruptcies`	High correlation
`total_acc` is highly correlated with `open_acc`	High correlation
`out_prncp` is highly correlated with `out_prncp_inv`	High correlation
`out_prncp_inv` is highly correlated with `out_prncp`	High correlation
`total_pymnt` is highly correlated with `loan_amnt` and 6 other fields	High correlation
`total_pymnt_inv` is highly correlated with `loan_amnt` and 6 other fields	High correlation
`total_rec_prncp` is highly correlated with `loan_amnt` and 7 other fields	High correlation
`total_rec_int` is highly correlated with `loan_amnt` and 7 other fields	High correlation
`recoveries` is highly correlated with `collection_recovery_fee`	High correlation
`collection_recovery_fee` is highly correlated with `recoveries`	High correlation
`last_pymnt_amnt` is highly correlated with `total_rec_prncp`	High correlation
`pub_rec_bankruptcies` is highly correlated with `pub_rec`	High correlation
`id` is highly correlated with `member_id`	High correlation
`member_id` is highly correlated with `id`	High correlation
`loan_amnt` is highly correlated with `funded_amnt` and 6 other fields	High correlation
`funded_amnt` is highly correlated with `loan_amnt` and 6 other fields	High correlation
`funded_amnt_inv` is highly correlated with `loan_amnt` and 6 other fields	High correlation
`int_rate` is highly correlated with `total_rec_int`	High correlation
`installment` is highly correlated with `loan_amnt` and 6 other fields	High correlation
`open_acc` is highly correlated with `total_acc`	High correlation
`pub_rec` is highly correlated with `pub_rec_bankruptcies`	High correlation
`total_acc` is highly correlated with `open_acc`	High correlation
`out_prncp` is highly correlated with `out_prncp_inv`	High correlation
`out_prncp_inv` is highly correlated with `out_prncp`	High correlation
`total_pymnt` is highly correlated with `loan_amnt` and 6 other fields	High correlation
`total_pymnt_inv` is highly correlated with `loan_amnt` and 6 other fields	High correlation
`total_rec_prncp` is highly correlated with `loan_amnt` and 7 other fields	High correlation
`total_rec_int` is highly correlated with `loan_amnt` and 7 other fields	High correlation
`recoveries` is highly correlated with `collection_recovery_fee`	High correlation
`collection_recovery_fee` is highly correlated with `recoveries`	High correlation
`last_pymnt_amnt` is highly correlated with `total_rec_prncp`	High correlation
`pub_rec_bankruptcies` is highly correlated with `pub_rec`	High correlation
`id` is highly correlated with `member_id`	High correlation
`member_id` is highly correlated with `id`	High correlation
`loan_amnt` is highly correlated with `funded_amnt` and 6 other fields	High correlation
`funded_amnt` is highly correlated with `loan_amnt` and 6 other fields	High correlation
`funded_amnt_inv` is highly correlated with `loan_amnt` and 6 other fields	High correlation
`installment` is highly correlated with `loan_amnt` and 6 other fields	High correlation
`open_acc` is highly correlated with `total_acc`	High correlation
`pub_rec` is highly correlated with `pub_rec_bankruptcies`	High correlation
`total_acc` is highly correlated with `open_acc`	High correlation
`out_prncp` is highly correlated with `out_prncp_inv`	High correlation
`out_prncp_inv` is highly correlated with `out_prncp`	High correlation
`total_pymnt` is highly correlated with `loan_amnt` and 6 other fields	High correlation
`total_pymnt_inv` is highly correlated with `loan_amnt` and 6 other fields	High correlation
`total_rec_prncp` is highly correlated with `loan_amnt` and 6 other fields	High correlation
`total_rec_int` is highly correlated with `loan_amnt` and 6 other fields	High correlation
`recoveries` is highly correlated with `collection_recovery_fee`	High correlation
`collection_recovery_fee` is highly correlated with `recoveries`	High correlation
`pub_rec_bankruptcies` is highly correlated with `pub_rec`	High correlation
`int_rate` is highly correlated with `sub_grade` and 3 other fields	High correlation
`open_acc` is highly correlated with `total_acc`	High correlation
`sub_grade` is highly correlated with `int_rate` and 3 other fields	High correlation
`collection_recovery_fee` is highly correlated with `recoveries`	High correlation
`installment` is highly correlated with `funded_amnt_inv` and 6 other fields	High correlation
`funded_amnt_inv` is highly correlated with `installment` and 7 other fields	High correlation
`member_id` is highly correlated with `issue_d` and 2 other fields	High correlation
`total_rec_int` is highly correlated with `int_rate` and 9 other fields	High correlation
`total_rec_prncp` is highly correlated with `installment` and 7 other fields	High correlation
`grade` is highly correlated with `int_rate` and 1 other fields	High correlation
`loan_status` is highly correlated with `out_prncp_inv` and 1 other fields	High correlation
`total_acc` is highly correlated with `open_acc`	High correlation
`issue_d` is highly correlated with `member_id` and 3 other fields	High correlation
`pub_rec_bankruptcies` is highly correlated with `member_id` and 3 other fields	High correlation
`last_pymnt_amnt` is highly correlated with `funded_amnt_inv` and 5 other fields	High correlation
`out_prncp_inv` is highly correlated with `loan_status` and 1 other fields	High correlation
`id` is highly correlated with `member_id` and 2 other fields	High correlation
`out_prncp` is highly correlated with `loan_status` and 1 other fields	High correlation
`recoveries` is highly correlated with `collection_recovery_fee`	High correlation
`verification_status` is highly correlated with `issue_d`	High correlation
`total_pymnt` is highly correlated with `installment` and 7 other fields	High correlation
`loan_amnt` is highly correlated with `installment` and 7 other fields	High correlation
`funded_amnt` is highly correlated with `installment` and 7 other fields	High correlation
`term` is highly correlated with `int_rate` and 2 other fields	High correlation
`total_pymnt_inv` is highly correlated with `installment` and 7 other fields	High correlation
`pub_rec` is highly correlated with `pub_rec_bankruptcies`	High correlation
`issue_d` is highly correlated with `pub_rec_bankruptcies` and 7 other fields	High correlation
`emp_length` is highly correlated with `pymnt_plan` and 6 other fields	High correlation
`pub_rec_bankruptcies` is highly correlated with `issue_d` and 8 other fields	High correlation
`pymnt_plan` is highly correlated with `issue_d` and 16 other fields	High correlation
`delinq_amnt` is highly correlated with `issue_d` and 16 other fields	High correlation
`term` is highly correlated with `pymnt_plan` and 6 other fields	High correlation
`application_type` is highly correlated with `issue_d` and 16 other fields	High correlation
`tax_liens` is highly correlated with `issue_d` and 16 other fields	High correlation
`sub_grade` is highly correlated with `pymnt_plan` and 7 other fields	High correlation
`addr_state` is highly correlated with `pymnt_plan` and 6 other fields	High correlation
`pub_rec` is highly correlated with `pub_rec_bankruptcies` and 7 other fields	High correlation
`initial_list_status` is highly correlated with `issue_d` and 16 other fields	High correlation
`grade` is highly correlated with `pymnt_plan` and 7 other fields	High correlation
`verification_status` is highly correlated with `pymnt_plan` and 6 other fields	High correlation
`home_ownership` is highly correlated with `pymnt_plan` and 6 other fields	High correlation
`loan_status` is highly correlated with `pymnt_plan` and 6 other fields	High correlation
`chargeoff_within_12_mths` is highly correlated with `issue_d` and 16 other fields	High correlation
`collections_12_mths_ex_med` is highly correlated with `issue_d` and 16 other fields	High correlation
`annual_inc` is highly skewed (γ1 = 30.94133112)	Skewed
`out_prncp` is highly skewed (γ1 = 87.30770026)	Skewed
`out_prncp_inv` is highly skewed (γ1 = 87.43436316)	Skewed
`collection_recovery_fee` is highly skewed (γ1 = 24.82250475)	Skewed
`id` has unique values	Unique
`member_id` has unique values	Unique
`delinq_2yrs` has 35466 (89.1%) zeros	Zeros
`inq_last_6mths` has 19337 (48.6%) zeros	Zeros
`revol_bal` has 996 (2.5%) zeros	Zeros
`revol_util` has 980 (2.5%) zeros	Zeros
`out_prncp` has 39770 (> 99.9%) zeros	Zeros
`out_prncp_inv` has 39770 (> 99.9%) zeros	Zeros
`total_rec_late_fee` has 37708 (94.8%) zeros	Zeros
`recoveries` has 34186 (85.9%) zeros	Zeros
`collection_recovery_fee` has 35958 (90.4%) zeros	Zeros

Reproduction

Analysis started	2021-07-27 11:41:34.599703
Analysis finished	2021-07-27 11:43:03.696535
Duration	1 minute and 29.1 seconds
Software version	pandas-profiling v3.0.0
Download configuration	config.json

id
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
UNIQUE

Distinct	39786
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	683393.9487

Minimum	54734
Maximum	1077501
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	311.0 KiB

Quantile statistics

Minimum	54734
5-th percentile	372506.25
Q1	516351.75
median	666229.5
Q3	837871
95-th percentile	1039974.75
Maximum	1077501
Range	1022767
Interquartile range (IQR)	321519.25

Descriptive statistics

Standard deviation	210676.9987
Coefficient of variation (CV)	0.3082804569
Kurtosis	-0.7299773136
Mean	683393.9487
Median Absolute Deviation (MAD)	159954
Skewness	0.07721181992
Sum	2.718951164 × 10¹⁰
Variance	4.43847978 × 10¹⁰
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
464899	1	< 0.1%
864979	1	< 0.1%
785098	1	< 0.1%
979659	1	< 0.1%
967373	1	< 0.1%
842446	1	< 0.1%
643791	1	< 0.1%
600784	1	< 0.1%
516313	1	< 0.1%
575175	1	< 0.1%
Other values (39776)	39776	> 99.9%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
54734	1	< 0.1%
55742	1	< 0.1%
57245	1	< 0.1%
57416	1	< 0.1%
58915	1	< 0.1%
59006	1	< 0.1%
61390	1	< 0.1%
61419	1	< 0.1%
62102	1	< 0.1%
65426	1	< 0.1%

Value	Count	Frequency (%)
1077501	1	< 0.1%
1077430	1	< 0.1%
1077175	1	< 0.1%
1076863	1	< 0.1%
1075358	1	< 0.1%
1075269	1	< 0.1%
1072053	1	< 0.1%
1071795	1	< 0.1%
1071570	1	< 0.1%
1070078	1	< 0.1%

member_id
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
UNIQUE

Distinct	39786
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	850793.6757

Minimum	70699
Maximum	1314167
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	311.0 KiB

Quantile statistics

Minimum	70699
5-th percentile	388342.75
Q1	667054.75
median	851544
Q3	1047527.75
95-th percentile	1269507.5
Maximum	1314167
Range	1243468
Interquartile range (IQR)	380473

Descriptive statistics

Standard deviation	265636.9839
Coefficient of variation (CV)	0.3122225652
Kurtosis	-0.5619363928
Mean	850793.6757
Median Absolute Deviation (MAD)	190275.5
Skewness	-0.2139978599
Sum	3.384967718 × 10¹⁰
Variance	7.05630072 × 10¹⁰
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
399649	1	< 0.1%
1225411	1	< 0.1%
349503	1	< 0.1%
351228	1	< 0.1%
1264316	1	< 0.1%
803517	1	< 0.1%
875198	1	< 0.1%
1069759	1	< 0.1%
697025	1	< 0.1%
1278661	1	< 0.1%
Other values (39776)	39776	> 99.9%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
70699	1	< 0.1%
73673	1	< 0.1%
74724	1	< 0.1%
76583	1	< 0.1%
80353	1	< 0.1%
80364	1	< 0.1%
84914	1	< 0.1%
85483	1	< 0.1%
86999	1	< 0.1%
89243	1	< 0.1%

Value	Count	Frequency (%)
1314167	1	< 0.1%
1313524	1	< 0.1%
1311748	1	< 0.1%
1311441	1	< 0.1%
1306957	1	< 0.1%
1306721	1	< 0.1%
1305201	1	< 0.1%
1305008	1	< 0.1%
1304956	1	< 0.1%
1304884	1	< 0.1%

loan_amnt
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	885
Distinct (%)	2.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	11231.36028

Minimum	500
Maximum	35000
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	311.0 KiB

Quantile statistics

Minimum	500
5-th percentile	2400
Q1	5500
median	10000
Q3	15000
95-th percentile	25000
Maximum	35000
Range	34500
Interquartile range (IQR)	9500

Descriptive statistics

Standard deviation	7464.542832
Coefficient of variation (CV)	0.664616097
Kurtosis	0.7631363906
Mean	11231.36028
Median Absolute Deviation (MAD)	5000
Skewness	1.057864295
Sum	446850900
Variance	55719399.69
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
10000	2835	7.1%
12000	2340	5.9%
5000	2051	5.2%
6000	1908	4.8%
15000	1898	4.8%
20000	1634	4.1%
8000	1589	4.0%
25000	1395	3.5%
4000	1130	2.8%
3000	1031	2.6%
Other values (875)	21975	55.2%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
500	5	< 0.1%
700	1	< 0.1%
725	1	< 0.1%
750	1	< 0.1%
800	1	< 0.1%
900	2	< 0.1%
950	1	< 0.1%
1000	301	0.8%
1050	4	< 0.1%
1075	1	< 0.1%

Value	Count	Frequency (%)
35000	685	1.7%
34800	2	< 0.1%
34675	1	< 0.1%
34525	1	< 0.1%
34475	5	< 0.1%
34200	1	< 0.1%
34000	15	< 0.1%
33950	9	< 0.1%
33600	6	< 0.1%
33500	2	< 0.1%

funded_amnt
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	1042
Distinct (%)	2.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	10958.72229

Minimum	500
Maximum	35000
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	311.0 KiB

Quantile statistics

Minimum	500
5-th percentile	2400
Q1	5400
median	9650
Q3	15000
95-th percentile	25000
Maximum	35000
Range	34500
Interquartile range (IQR)	9600

Descriptive statistics

Standard deviation	7194.076908
Coefficient of variation (CV)	0.6564704094
Kurtosis	0.9323844052
Mean	10958.72229
Median Absolute Deviation (MAD)	4650
Skewness	1.080266385
Sum	436003725
Variance	51754742.55
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
10000	2743	6.9%
12000	2250	5.7%
5000	2040	5.1%
6000	1898	4.8%
15000	1787	4.5%
8000	1576	4.0%
20000	1463	3.7%
25000	1138	2.9%
4000	1127	2.8%
3000	1023	2.6%
Other values (1032)	22741	57.2%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
500	5	< 0.1%
700	1	< 0.1%
725	1	< 0.1%
750	1	< 0.1%
800	1	< 0.1%
900	2	< 0.1%
950	1	< 0.1%
1000	302	0.8%
1050	5	< 0.1%
1075	1	< 0.1%

Value	Count	Frequency (%)
35000	559	1.4%
34800	1	< 0.1%
34675	2	< 0.1%
34525	1	< 0.1%
34475	4	< 0.1%
34250	1	< 0.1%
34000	14	< 0.1%
33950	6	< 0.1%
33600	6	< 0.1%
33500	1	< 0.1%

funded_amnt_inv
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	8215
Distinct (%)	20.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	10409.01868

Minimum	0
Maximum	35000
Zeros	129
Zeros (%)	0.3%
Negative	0
Negative (%)	0.0%
Memory size	311.0 KiB

Quantile statistics

Minimum	0
5-th percentile	1875
Q1	5000
median	8975
Q3	14400
95-th percentile	24750
Maximum	35000
Range	35000
Interquartile range (IQR)	9400

Descriptive statistics

Standard deviation	7135.760122
Coefficient of variation (CV)	0.6855362971
Kurtosis	1.055683004
Mean	10409.01868
Median Absolute Deviation (MAD)	4200
Skewness	1.104554929
Sum	414133217.2
Variance	50919072.52
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
5000	1309	3.3%
10000	1275	3.2%
6000	1200	3.0%
12000	1072	2.7%
8000	902	2.3%
4000	812	2.0%
3000	804	2.0%
15000	658	1.7%
7000	600	1.5%
2000	453	1.1%
Other values (8205)	30701	77.2%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	129	0.3%
0.000121098	1	< 0.1%
0.000531133	1	< 0.1%
0.000654607	1	< 0.1%
0.001867696	1	< 0.1%
0.001963093	1	< 0.1%
0.001966974	1	< 0.1%
0.002251738	1	< 0.1%
0.002283598	1	< 0.1%
0.002373058	1	< 0.1%

Value	Count	Frequency (%)
35000	135	0.3%
34997.35245	1	< 0.1%
34993.65539	1	< 0.1%
34993.32571	1	< 0.1%
34993.26306	1	< 0.1%
34993.19696	1	< 0.1%
34990.4308	1	< 0.1%
34987.98452	1	< 0.1%
34987.27101	1	< 0.1%
34977.34674	1	< 0.1%

term
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	311.0 KiB

36 months	29096
60 months	10690

Length

Max length	10
Median length	10
Mean length	10
Min length	10

Characters and Unicode

Total characters	397860
Distinct characters	10
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	36 months
2nd row	60 months
3rd row	36 months
4th row	36 months
5th row	60 months

Common Values

Value	Count	Frequency (%)
36 months	29096	73.1%
60 months	10690	26.9%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
months	39786	50.0%
36	29096	36.6%
60	10690	13.4%

Most occurring characters

Value	Count	Frequency (%)
	79572	20.0%
6	39786	10.0%
m	39786	10.0%
o	39786	10.0%
n	39786	10.0%
t	39786	10.0%
h	39786	10.0%
s	39786	10.0%
3	29096	7.3%
0	10690	2.7%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	238716	60.0%
Space Separator	79572	20.0%
Decimal Number	79572	20.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
m	39786	16.7%
o	39786	16.7%
n	39786	16.7%
t	39786	16.7%
h	39786	16.7%
s	39786	16.7%

Decimal Number

Value	Count	Frequency (%)
6	39786	50.0%
3	29096	36.6%
0	10690	13.4%

Space Separator

Value	Count	Frequency (%)
	79572	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	238716	60.0%
Common	159144	40.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
m	39786	16.7%
o	39786	16.7%
n	39786	16.7%
t	39786	16.7%
h	39786	16.7%
s	39786	16.7%

Common

Value	Count	Frequency (%)
	79572	50.0%
6	39786	25.0%
3	29096	18.3%
0	10690	6.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	397860	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	79572	20.0%
6	39786	10.0%
m	39786	10.0%
o	39786	10.0%
n	39786	10.0%
t	39786	10.0%
h	39786	10.0%
s	39786	10.0%
3	29096	7.3%
0	10690	2.7%

int_rate
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	371
Distinct (%)	0.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	12.02787337

Minimum	5.42
Maximum	24.59
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	311.0 KiB

Quantile statistics

Minimum	5.42
5-th percentile	6.17
Q1	9.25
median	11.86
Q3	14.59
95-th percentile	18.62
Maximum	24.59
Range	19.17
Interquartile range (IQR)	5.34

Descriptive statistics

Standard deviation	3.72746646
Coefficient of variation (CV)	0.3099023696
Kurtosis	-0.4490431486
Mean	12.02787337
Median Absolute Deviation (MAD)	2.68
Skewness	0.2929699244
Sum	478540.97
Variance	13.89400621
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
10.99	958	2.4%
13.49	831	2.1%
11.49	826	2.1%
7.51	787	2.0%
7.88	725	1.8%
7.49	656	1.6%
11.71	609	1.5%
9.99	603	1.5%
7.9	582	1.5%
5.42	573	1.4%
Other values (361)	32636	82.0%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
5.42	573	1.4%
5.79	410	1.0%
5.99	347	0.9%
6	18	< 0.1%
6.03	447	1.1%
6.17	252	0.6%
6.39	58	0.1%
6.54	305	0.8%
6.62	396	1.0%
6.76	168	0.4%

Value	Count	Frequency (%)
24.59	1	< 0.1%
24.4	1	< 0.1%
24.11	3	< 0.1%
23.91	11	< 0.1%
23.59	4	< 0.1%
23.52	9	< 0.1%
23.22	9	< 0.1%
23.13	9	< 0.1%
22.94	2	< 0.1%
22.85	8	< 0.1%

installment
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	15405
Distinct (%)	38.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	324.7336375

Minimum	15.69
Maximum	1305.19
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	311.0 KiB

Quantile statistics

Minimum	15.69
5-th percentile	71.235
Q1	167.08
median	280.61
Q3	430.78
95-th percentile	763.7525
Maximum	1305.19
Range	1289.5
Interquartile range (IQR)	263.7

Descriptive statistics

Standard deviation	208.9232116
Coefficient of variation (CV)	0.6433679407
Kurtosis	1.241388845
Mean	324.7336375
Median Absolute Deviation (MAD)	123.41
Skewness	1.126844554
Sum	12919852.5
Variance	43648.90835
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
311.11	68	0.2%
180.96	59	0.1%
311.02	54	0.1%
150.8	48	0.1%
368.45	46	0.1%
372.12	45	0.1%
330.76	43	0.1%
339.31	42	0.1%
301.6	41	0.1%
317.72	41	0.1%
Other values (15395)	39299	98.8%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
15.69	1	< 0.1%
16.08	1	< 0.1%
16.25	1	< 0.1%
16.31	1	< 0.1%
16.47	1	< 0.1%
19.87	1	< 0.1%
20.22	1	< 0.1%
21.25	1	< 0.1%
21.74	1	< 0.1%
21.81	1	< 0.1%

Value	Count	Frequency (%)
1305.19	1	< 0.1%
1302.69	1	< 0.1%
1295.21	1	< 0.1%
1288.1	2	< 0.1%
1283.5	1	< 0.1%
1276.6	3	< 0.1%
1272.2	1	< 0.1%
1269.73	5	< 0.1%
1265.16	1	< 0.1%
1263.23	1	< 0.1%

grade
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	7
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	311.0 KiB

B	12035
A	10085
C	8111
D	5325
E	2858
Other values (2)	1372

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	39786
Distinct characters	7
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	B
2nd row	C
3rd row	C
4th row	C
5th row	B

Common Values

Value	Count	Frequency (%)
B	12035	30.2%
A	10085	25.3%
C	8111	20.4%
D	5325	13.4%
E	2858	7.2%
F	1054	2.6%
G	318	0.8%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
b	12035	30.2%
a	10085	25.3%
c	8111	20.4%
d	5325	13.4%
e	2858	7.2%
f	1054	2.6%
g	318	0.8%

Most occurring characters

Value	Count	Frequency (%)
B	12035	30.2%
A	10085	25.3%
C	8111	20.4%
D	5325	13.4%
E	2858	7.2%
F	1054	2.6%
G	318	0.8%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	39786	100.0%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
B	12035	30.2%
A	10085	25.3%
C	8111	20.4%
D	5325	13.4%
E	2858	7.2%
F	1054	2.6%
G	318	0.8%

Most occurring scripts

Value	Count	Frequency (%)
Latin	39786	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
B	12035	30.2%
A	10085	25.3%
C	8111	20.4%
D	5325	13.4%
E	2858	7.2%
F	1054	2.6%
G	318	0.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	39786	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
B	12035	30.2%
A	10085	25.3%
C	8111	20.4%
D	5325	13.4%
E	2858	7.2%
F	1054	2.6%
G	318	0.8%

sub_grade
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	35
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	311.0 KiB

B3	2924
A4	2886
A5	2742
B5	2709
B4	2514
Other values (30)	26011

Length

Max length	2
Median length	2
Mean length	2
Min length	2

Characters and Unicode

Total characters	79572
Distinct characters	12
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	B2
2nd row	C4
3rd row	C5
4th row	C1
5th row	B5

Common Values

Value	Count	Frequency (%)
B3	2924	7.3%
A4	2886	7.3%
A5	2742	6.9%
B5	2709	6.8%
B4	2514	6.3%
C1	2142	5.4%
B2	2058	5.2%
C2	2014	5.1%
B1	1830	4.6%
A3	1810	4.5%
Other values (25)	16157	40.6%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
b3	2924	7.3%
a4	2886	7.3%
a5	2742	6.9%
b5	2709	6.8%
b4	2514	6.3%
c1	2142	5.4%
b2	2058	5.2%
c2	2014	5.1%
b1	1830	4.6%
a3	1810	4.5%
Other values (25)	16157	40.6%

Most occurring characters

Value	Count	Frequency (%)
B	12035	15.1%
A	10085	12.7%
4	8304	10.4%
3	8233	10.3%
C	8111	10.2%
5	8085	10.2%
2	7920	10.0%
1	7244	9.1%
D	5325	6.7%
E	2858	3.6%
Other values (2)	1372	1.7%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	39786	50.0%
Decimal Number	39786	50.0%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
B	12035	30.2%
A	10085	25.3%
C	8111	20.4%
D	5325	13.4%
E	2858	7.2%
F	1054	2.6%
G	318	0.8%

Decimal Number

Value	Count	Frequency (%)
4	8304	20.9%
3	8233	20.7%
5	8085	20.3%
2	7920	19.9%
1	7244	18.2%

Most occurring scripts

Value	Count	Frequency (%)
Latin	39786	50.0%
Common	39786	50.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
B	12035	30.2%
A	10085	25.3%
C	8111	20.4%
D	5325	13.4%
E	2858	7.2%
F	1054	2.6%
G	318	0.8%

Common

Value	Count	Frequency (%)
4	8304	20.9%
3	8233	20.7%
5	8085	20.3%
2	7920	19.9%
1	7244	18.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	79572	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
B	12035	15.1%
A	10085	12.7%
4	8304	10.4%
3	8233	10.3%
C	8111	10.2%
5	8085	10.2%
2	7920	10.0%
1	7244	9.1%
D	5325	6.7%
E	2858	3.6%
Other values (2)	1372	1.7%

emp_length
Categorical

HIGH CORRELATION

Distinct	11
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	311.0 KiB

10+ years	9977
< 1 year	4590
2 years	4394
3 years	4098
4 years	3444
Other values (6)	13283

Length

Max length	9
Median length	7
Mean length	7.535288795
Min length	6

Characters and Unicode

Total characters	299799
Distinct characters	18
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	10+ years
2nd row	< 1 year
3rd row	10+ years
4th row	10+ years
5th row	1 year

Common Values

Value	Count	Frequency (%)
10+ years	9977	25.1%
< 1 year	4590	11.5%
2 years	4394	11.0%
3 years	4098	10.3%
4 years	3444	8.7%
5 years	3286	8.3%
1 year	3247	8.2%
6 years	2231	5.6%
7 years	1775	4.5%
8 years	1485	3.7%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
years	31949	38.0%
10	9977	11.9%
1	7837	9.3%
year	7837	9.3%
	4590	5.5%
2	4394	5.2%
3	4098	4.9%
4	3444	4.1%
5	3286	3.9%
6	2231	2.7%
Other values (3)	4519	5.4%

Most occurring characters

Value	Count	Frequency (%)
	44376	14.8%
y	39786	13.3%
e	39786	13.3%
a	39786	13.3%
r	39786	13.3%
s	31949	10.7%
1	17814	5.9%
0	9977	3.3%
+	9977	3.3%
<	4590	1.5%
Other values (8)	21972	7.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	191093	63.7%
Decimal Number	49763	16.6%
Space Separator	44376	14.8%
Math Symbol	14567	4.9%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	17814	35.8%
0	9977	20.0%
2	4394	8.8%
3	4098	8.2%
4	3444	6.9%
5	3286	6.6%
6	2231	4.5%
7	1775	3.6%
8	1485	3.0%
9	1259	2.5%

Lowercase Letter

Value	Count	Frequency (%)
y	39786	20.8%
e	39786	20.8%
a	39786	20.8%
r	39786	20.8%
s	31949	16.7%

Math Symbol

Value	Count	Frequency (%)
+	9977	68.5%
<	4590	31.5%

Space Separator

Value	Count	Frequency (%)
	44376	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	191093	63.7%
Common	108706	36.3%

Most frequent character per script

Common

Value	Count	Frequency (%)
	44376	40.8%
1	17814	16.4%
0	9977	9.2%
+	9977	9.2%
<	4590	4.2%
2	4394	4.0%
3	4098	3.8%
4	3444	3.2%
5	3286	3.0%
6	2231	2.1%
Other values (3)	4519	4.2%

Latin

Value	Count	Frequency (%)
y	39786	20.8%
e	39786	20.8%
a	39786	20.8%
r	39786	20.8%
s	31949	16.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	299799	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	44376	14.8%
y	39786	13.3%
e	39786	13.3%
a	39786	13.3%
r	39786	13.3%
s	31949	10.7%
1	17814	5.9%
0	9977	3.3%
+	9977	3.3%
<	4590	1.5%
Other values (8)	21972	7.3%

home_ownership
Categorical

HIGH CORRELATION

Distinct	5
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	311.0 KiB

RENT	18918
MORTGAGE	17703
OWN	3064
OTHER	98
NONE	3

Length

Max length	8
Median length	4
Mean length	5.705273212
Min length	3

Characters and Unicode

Total characters	226990
Distinct characters	10
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	RENT
2nd row	RENT
3rd row	RENT
4th row	RENT
5th row	RENT

Common Values

Value	Count	Frequency (%)
RENT	18918	47.5%
MORTGAGE	17703	44.5%
OWN	3064	7.7%
OTHER	98	0.2%
NONE	3	< 0.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
rent	18918	47.5%
mortgage	17703	44.5%
own	3064	7.7%
other	98	0.2%
none	3	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
E	36722	16.2%
R	36719	16.2%
T	36719	16.2%
G	35406	15.6%
N	21988	9.7%
O	20868	9.2%
M	17703	7.8%
A	17703	7.8%
W	3064	1.3%
H	98	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	226990	100.0%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
E	36722	16.2%
R	36719	16.2%
T	36719	16.2%
G	35406	15.6%
N	21988	9.7%
O	20868	9.2%
M	17703	7.8%
A	17703	7.8%
W	3064	1.3%
H	98	< 0.1%

Most occurring scripts

Value	Count	Frequency (%)
Latin	226990	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
E	36722	16.2%
R	36719	16.2%
T	36719	16.2%
G	35406	15.6%
N	21988	9.7%
O	20868	9.2%
M	17703	7.8%
A	17703	7.8%
W	3064	1.3%
H	98	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	226990	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
E	36722	16.2%
R	36719	16.2%
T	36719	16.2%
G	35406	15.6%
N	21988	9.7%
O	20868	9.2%
M	17703	7.8%
A	17703	7.8%
W	3064	1.3%
H	98	< 0.1%

annual_inc
Real number (ℝ_≥0)

SKEWED

Distinct	5323
Distinct (%)	13.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	68979.06676

Minimum	4000
Maximum	6000000
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	311.0 KiB

Quantile statistics

Minimum	4000
5-th percentile	24000
Q1	40500
median	59000
Q3	82342.5
95-th percentile	142000
Maximum	6000000
Range	5996000
Interquartile range (IQR)	41842.5

Descriptive statistics

Standard deviation	63762.63452
Coefficient of variation (CV)	0.9243765902
Kurtosis	2303.219566
Mean	68979.06676
Median Absolute Deviation (MAD)	20000
Skewness	30.94133112
Sum	2744401150
Variance	4065673561
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
60000	1507	3.8%
50000	1060	2.7%
40000	876	2.2%
45000	834	2.1%
30000	825	2.1%
75000	814	2.0%
65000	804	2.0%
70000	737	1.9%
48000	724	1.8%
80000	663	1.7%
Other values (5313)	30942	77.8%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
4000	1	< 0.1%
4080	1	< 0.1%
4200	2	< 0.1%
4800	4	< 0.1%
4888	1	< 0.1%
5000	1	< 0.1%
5500	1	< 0.1%
6000	5	< 0.1%
7000	1	< 0.1%
7200	4	< 0.1%

Value	Count	Frequency (%)
6000000	1	< 0.1%
3900000	1	< 0.1%
2039784	1	< 0.1%
1900000	1	< 0.1%
1782000	1	< 0.1%
1440000	1	< 0.1%
1362000	1	< 0.1%
1250000	1	< 0.1%
1200000	4	< 0.1%
1176000	1	< 0.1%

verification_status
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	311.0 KiB

Not Verified	16926
Verified	12844
Source Verified	10016

Length

Max length	15
Median length	12
Mean length	11.46393204
Min length	8

Characters and Unicode

Total characters	456104
Distinct characters	13
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Verified
2nd row	Source Verified
3rd row	Not Verified
4th row	Source Verified
5th row	Source Verified

Common Values

Value	Count	Frequency (%)
Not Verified	16926	42.5%
Verified	12844	32.3%
Source Verified	10016	25.2%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
verified	39786	59.6%
not	16926	25.4%
source	10016	15.0%

Most occurring characters

Value	Count	Frequency (%)
e	89588	19.6%
i	79572	17.4%
r	49802	10.9%
V	39786	8.7%
f	39786	8.7%
d	39786	8.7%
o	26942	5.9%
	26942	5.9%
N	16926	3.7%
t	16926	3.7%
Other values (3)	30048	6.6%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	362434	79.5%
Uppercase Letter	66728	14.6%
Space Separator	26942	5.9%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	89588	24.7%
i	79572	22.0%
r	49802	13.7%
f	39786	11.0%
d	39786	11.0%
o	26942	7.4%
t	16926	4.7%
u	10016	2.8%
c	10016	2.8%

Uppercase Letter

Value	Count	Frequency (%)
V	39786	59.6%
N	16926	25.4%
S	10016	15.0%

Space Separator

Value	Count	Frequency (%)
	26942	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	429162	94.1%
Common	26942	5.9%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	89588	20.9%
i	79572	18.5%
r	49802	11.6%
V	39786	9.3%
f	39786	9.3%
d	39786	9.3%
o	26942	6.3%
N	16926	3.9%
t	16926	3.9%
S	10016	2.3%
Other values (2)	20032	4.7%

Common

Value	Count	Frequency (%)
	26942	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	456104	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	89588	19.6%
i	79572	17.4%
r	49802	10.9%
V	39786	8.7%
f	39786	8.7%
d	39786	8.7%
o	26942	5.9%
	26942	5.9%
N	16926	3.7%
t	16926	3.7%
Other values (3)	30048	6.6%

issue_d
Categorical

HIGH CARDINALITY
HIGH CORRELATION
HIGH CORRELATION

Distinct	55
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	311.0 KiB

Dec-11	2267
Nov-11	2232
Oct-11	2118
Sep-11	2067
Aug-11	1934
Other values (50)	29168

Length

Max length	6
Median length	6
Mean length	6
Min length	6

Characters and Unicode

Total characters	238716
Distinct characters	28
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	< 0.1%

Sample

1st row	Dec-11
2nd row	Dec-11
3rd row	Dec-11
4th row	Dec-11
5th row	Dec-11

Common Values

Value	Count	Frequency (%)
Dec-11	2267	5.7%
Nov-11	2232	5.6%
Oct-11	2118	5.3%
Sep-11	2067	5.2%
Aug-11	1934	4.9%
Jul-11	1875	4.7%
Jun-11	1835	4.6%
May-11	1704	4.3%
Apr-11	1563	3.9%
Mar-11	1448	3.6%
Other values (45)	20743	52.1%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
dec-11	2267	5.7%
nov-11	2232	5.6%
oct-11	2118	5.3%
sep-11	2067	5.2%
aug-11	1934	4.9%
jul-11	1875	4.7%
jun-11	1835	4.6%
may-11	1704	4.3%
apr-11	1563	3.9%
mar-11	1448	3.6%
Other values (45)	20743	52.1%

Most occurring characters

Value	Count	Frequency (%)
1	54978	23.0%
-	39786	16.7%
0	18065	7.6%
e	10454	4.4%
u	10292	4.3%
J	9147	3.8%
c	8381	3.5%
a	8090	3.4%
p	6488	2.7%
A	6359	2.7%
Other values (18)	66676	27.9%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	79572	33.3%
Decimal Number	79572	33.3%
Uppercase Letter	39786	16.7%
Dash Punctuation	39786	16.7%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	10454	13.1%
u	10292	12.9%
c	8381	10.5%
a	8090	10.2%
p	6488	8.2%
n	5666	7.1%
r	5532	7.0%
o	4176	5.2%
v	4176	5.2%
t	3939	5.0%
Other values (4)	12378	15.6%

Uppercase Letter

Value	Count	Frequency (%)
J	9147	23.0%
A	6359	16.0%
M	5711	14.4%
D	4442	11.2%
N	4176	10.5%
O	3939	9.9%
S	3653	9.2%
F	2359	5.9%

Decimal Number

Value	Count	Frequency (%)
1	54978	69.1%
0	18065	22.7%
9	4716	5.9%
8	1562	2.0%
7	251	0.3%

Dash Punctuation

Value	Count	Frequency (%)
-	39786	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	119358	50.0%
Common	119358	50.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	10454	8.8%
u	10292	8.6%
J	9147	7.7%
c	8381	7.0%
a	8090	6.8%
p	6488	5.4%
A	6359	5.3%
M	5711	4.8%
n	5666	4.7%
r	5532	4.6%
Other values (12)	43238	36.2%

Common

Value	Count	Frequency (%)
1	54978	46.1%
-	39786	33.3%
0	18065	15.1%
9	4716	4.0%
8	1562	1.3%
7	251	0.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	238716	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	54978	23.0%
-	39786	16.7%
0	18065	7.6%
e	10454	4.4%
u	10292	4.3%
J	9147	3.8%
c	8381	3.5%
a	8090	3.4%
p	6488	2.7%
A	6359	2.7%
Other values (18)	66676	27.9%

loan_status
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	7
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	311.0 KiB

Fully Paid	34108
Charged Off	5662
Late (31-120 days)	10
Current	3
Default	1
Other values (2)	2

Length

Max length	18
Median length	10
Mean length	10.14432212
Min length	7

Characters and Unicode

Total characters	403602
Distinct characters	33
Distinct categories	7 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	3 ?
Unique (%)	< 0.1%

Sample

1st row	Fully Paid
2nd row	Charged Off
3rd row	Fully Paid
4th row	Fully Paid
5th row	Fully Paid

Common Values

Value	Count	Frequency (%)
Fully Paid	34108	85.7%
Charged Off	5662	14.2%
Late (31-120 days)	10	< 0.1%
Current	3	< 0.1%
Default	1	< 0.1%
Late (16-30 days)	1	< 0.1%
In Grace Period	1	< 0.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
paid	34108	42.9%
fully	34108	42.9%
charged	5662	7.1%
off	5662	7.1%
days	11	< 0.1%
late	11	< 0.1%
31-120	10	< 0.1%
current	3	< 0.1%
grace	1	< 0.1%
in	1	< 0.1%
Other values (3)	3	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
l	68217	16.9%
	39794	9.9%
a	39794	9.9%
d	39782	9.9%
y	34119	8.5%
u	34112	8.5%
P	34109	8.5%
i	34109	8.5%
F	34108	8.5%
f	11325	2.8%
Other values (23)	34133	8.5%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	284163	70.4%
Uppercase Letter	79558	19.7%
Space Separator	39794	9.9%
Decimal Number	54	< 0.1%
Open Punctuation	11	< 0.1%
Dash Punctuation	11	< 0.1%
Close Punctuation	11	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
l	68217	24.0%
a	39794	14.0%
d	39782	14.0%
y	34119	12.0%
u	34112	12.0%
i	34109	12.0%
f	11325	4.0%
e	5679	2.0%
r	5670	2.0%
h	5662	2.0%
Other values (6)	5694	2.0%

Uppercase Letter

Value	Count	Frequency (%)
P	34109	42.9%
F	34108	42.9%
C	5665	7.1%
O	5662	7.1%
L	11	< 0.1%
I	1	< 0.1%
G	1	< 0.1%
D	1	< 0.1%

Decimal Number

Value	Count	Frequency (%)
1	21	38.9%
3	11	20.4%
0	11	20.4%
2	10	18.5%
6	1	1.9%

Space Separator

Value	Count	Frequency (%)
	39794	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	11	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	11	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	11	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	363721	90.1%
Common	39881	9.9%

Most frequent character per script

Latin

Value	Count	Frequency (%)
l	68217	18.8%
a	39794	10.9%
d	39782	10.9%
y	34119	9.4%
u	34112	9.4%
P	34109	9.4%
i	34109	9.4%
F	34108	9.4%
f	11325	3.1%
e	5679	1.6%
Other values (14)	28367	7.8%

Common

Value	Count	Frequency (%)
	39794	99.8%
1	21	0.1%
(	11	< 0.1%
3	11	< 0.1%
-	11	< 0.1%
0	11	< 0.1%
)	11	< 0.1%
2	10	< 0.1%
6	1	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	403602	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
l	68217	16.9%
	39794	9.9%
a	39794	9.9%
d	39782	9.9%
y	34119	8.5%
u	34112	8.5%
P	34109	8.5%
i	34109	8.5%
F	34108	8.5%
f	11325	2.8%
Other values (23)	34133	8.5%

pymnt_plan
Boolean

CONSTANT
HIGH CORRELATION
REJECTED

Distinct	1
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	39.0 KiB

False	39786

Common Values
Chart

Value	Count	Frequency (%)
False	39786	100.0%

zip_code
Categorical

HIGH CARDINALITY

Distinct	823
Distinct (%)	2.1%
Missing	0
Missing (%)	0.0%
Memory size	311.0 KiB

100xx	597
945xx	546
112xx	517
606xx	503
070xx	473
Other values (818)	37150

Length

Max length	5
Median length	5
Mean length	5
Min length	5

Characters and Unicode

Total characters	198930
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	55 ?
Unique (%)	0.1%

Sample

1st row	860xx
2nd row	309xx
3rd row	606xx
4th row	917xx
5th row	972xx

Common Values

Value	Count	Frequency (%)
100xx	597	1.5%
945xx	546	1.4%
112xx	517	1.3%
606xx	503	1.3%
070xx	473	1.2%
900xx	453	1.1%
021xx	397	1.0%
300xx	395	1.0%
926xx	371	0.9%
750xx	368	0.9%
Other values (813)	35166	88.4%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
100xx	597	1.5%
945xx	546	1.4%
112xx	517	1.3%
606xx	503	1.3%
070xx	473	1.2%
900xx	453	1.1%
021xx	397	1.0%
300xx	395	1.0%
926xx	371	0.9%
750xx	368	0.9%
Other values (813)	35166	88.4%

Most occurring characters

Value	Count	Frequency (%)
x	79572	40.0%
0	19803	10.0%
1	15655	7.9%
2	13610	6.8%
9	12695	6.4%
3	12381	6.2%
7	10280	5.2%
4	9137	4.6%
5	9036	4.5%
8	8691	4.4%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	119358	60.0%
Lowercase Letter	79572	40.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	19803	16.6%
1	15655	13.1%
2	13610	11.4%
9	12695	10.6%
3	12381	10.4%
7	10280	8.6%
4	9137	7.7%
5	9036	7.6%
8	8691	7.3%
6	8070	6.8%

Lowercase Letter

Value	Count	Frequency (%)
x	79572	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	119358	60.0%
Latin	79572	40.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	19803	16.6%
1	15655	13.1%
2	13610	11.4%
9	12695	10.6%
3	12381	10.4%
7	10280	8.6%
4	9137	7.7%
5	9036	7.6%
8	8691	7.3%
6	8070	6.8%

Latin

Value	Count	Frequency (%)
x	79572	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	198930	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
x	79572	40.0%
0	19803	10.0%
1	15655	7.9%
2	13610	6.8%
9	12695	6.4%
3	12381	6.2%
7	10280	5.2%
4	9137	4.6%
5	9036	4.5%
8	8691	4.4%

addr_state
Categorical

HIGH CORRELATION

Distinct	50
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	311.0 KiB

CA	7105
NY	3817
FL	2872
TX	2734
NJ	1855
Other values (45)	21403

Length

Max length	2
Median length	2
Mean length	2
Min length	2

Characters and Unicode

Total characters	79572
Distinct characters	24
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	AZ
2nd row	GA
3rd row	IL
4th row	CA
5th row	OR

Common Values

Value	Count	Frequency (%)
CA	7105	17.9%
NY	3817	9.6%
FL	2872	7.2%
TX	2734	6.9%
NJ	1855	4.7%
IL	1525	3.8%
PA	1519	3.8%
VA	1408	3.5%
GA	1399	3.5%
MA	1344	3.4%
Other values (40)	14208	35.7%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
ca	7105	17.9%
ny	3817	9.6%
fl	2872	7.2%
tx	2734	6.9%
nj	1855	4.7%
il	1525	3.8%
pa	1519	3.8%
va	1408	3.5%
ga	1399	3.5%
ma	1344	3.4%
Other values (40)	14208	35.7%

Most occurring characters

Value	Count	Frequency (%)
A	15719	19.8%
C	10126	12.7%
N	7968	10.0%
L	5285	6.6%
M	4720	5.9%
Y	4227	5.3%
T	3903	4.9%
O	3455	4.3%
I	3100	3.9%
F	2872	3.6%
Other values (14)	18197	22.9%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	79572	100.0%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
A	15719	19.8%
C	10126	12.7%
N	7968	10.0%
L	5285	6.6%
M	4720	5.9%
Y	4227	5.3%
T	3903	4.9%
O	3455	4.3%
I	3100	3.9%
F	2872	3.6%
Other values (14)	18197	22.9%

Most occurring scripts

Value	Count	Frequency (%)
Latin	79572	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
A	15719	19.8%
C	10126	12.7%
N	7968	10.0%
L	5285	6.6%
M	4720	5.9%
Y	4227	5.3%
T	3903	4.9%
O	3455	4.3%
I	3100	3.9%
F	2872	3.6%
Other values (14)	18197	22.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	79572	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
A	15719	19.8%
C	10126	12.7%
N	7968	10.0%
L	5285	6.6%
M	4720	5.9%
Y	4227	5.3%
T	3903	4.9%
O	3455	4.3%
I	3100	3.9%
F	2872	3.6%
Other values (14)	18197	22.9%

dti
Real number (ℝ_≥0)

Distinct	2868
Distinct (%)	7.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	13.31779395

Minimum	0
Maximum	29.99
Zeros	184
Zeros (%)	0.5%
Negative	0
Negative (%)	0.0%
Memory size	311.0 KiB

Quantile statistics

Minimum	0
5-th percentile	2.13
Q1	8.18
median	13.41
Q3	18.6
95-th percentile	23.84
Maximum	29.99
Range	29.99
Interquartile range (IQR)	10.42

Descriptive statistics

Standard deviation	6.678300272
Coefficient of variation (CV)	0.5014569454
Kurtosis	-0.8508298161
Mean	13.31779395
Median Absolute Deviation (MAD)	5.21
Skewness	-0.02776106326
Sum	529861.75
Variance	44.59969452
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	184	0.5%
12	51	0.1%
18	46	0.1%
19.2	40	0.1%
13.2	39	0.1%
16.8	38	0.1%
13.5	38	0.1%
12.48	38	0.1%
6	37	0.1%
14.29	36	0.1%
Other values (2858)	39239	98.6%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	184	0.5%
0.01	3	< 0.1%
0.02	5	< 0.1%
0.03	2	< 0.1%
0.04	3	< 0.1%
0.05	2	< 0.1%
0.06	1	< 0.1%
0.07	5	< 0.1%
0.08	5	< 0.1%
0.09	3	< 0.1%

Value	Count	Frequency (%)
29.99	1	< 0.1%
29.95	1	< 0.1%
29.93	3	< 0.1%
29.92	2	< 0.1%
29.89	1	< 0.1%
29.88	1	< 0.1%
29.86	2	< 0.1%
29.85	1	< 0.1%
29.83	1	< 0.1%
29.82	1	< 0.1%

delinq_2yrs
Real number (ℝ_≥0)

ZEROS

Distinct	11
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.1465339567

Minimum	0
Maximum	11
Zeros	35466
Zeros (%)	89.1%
Negative	0
Negative (%)	0.0%
Memory size	311.0 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	1
Maximum	11
Range	11
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	0.4918260362
Coefficient of variation (CV)	3.356396342
Kurtosis	39.36795255
Mean	0.1465339567
Median Absolute Deviation (MAD)	0
Skewness	5.019746389
Sum	5830
Variance	0.2418928499
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=11)

Value	Count	Frequency (%)
0	35466	89.1%
1	3309	8.3%
2	688	1.7%
3	221	0.6%
4	62	0.2%
5	22	0.1%
6	10	< 0.1%
7	4	< 0.1%
8	2	< 0.1%
9	1	< 0.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	35466	89.1%
1	3309	8.3%
2	688	1.7%
3	221	0.6%
4	62	0.2%
5	22	0.1%
6	10	< 0.1%
7	4	< 0.1%
8	2	< 0.1%
9	1	< 0.1%

Value	Count	Frequency (%)
11	1	< 0.1%
9	1	< 0.1%
8	2	< 0.1%
7	4	< 0.1%
6	10	< 0.1%
5	22	0.1%
4	62	0.2%
3	221	0.6%
2	688	1.7%
1	3309	8.3%

earliest_cr_line
Categorical

HIGH CARDINALITY

Distinct	526
Distinct (%)	1.3%
Missing	0
Missing (%)	0.0%
Memory size	311.0 KiB

Nov-98	371
Oct-99	366
Dec-98	349
Oct-00	346
Dec-97	329
Other values (521)	38025

Length

Max length	6
Median length	6
Mean length	6
Min length	6

Characters and Unicode

Total characters	238716
Distinct characters	33
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	33 ?
Unique (%)	0.1%

Sample

1st row	Jan-85
2nd row	Apr-99
3rd row	Nov-01
4th row	Feb-96
5th row	Jan-96

Common Values

Value	Count	Frequency (%)
Nov-98	371	0.9%
Oct-99	366	0.9%
Dec-98	349	0.9%
Oct-00	346	0.9%
Dec-97	329	0.8%
Nov-99	320	0.8%
Nov-00	320	0.8%
Oct-98	307	0.8%
Sep-00	306	0.8%
Nov-97	299	0.8%
Other values (516)	36473	91.7%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
nov-98	371	0.9%
oct-99	366	0.9%
dec-98	349	0.9%
oct-00	346	0.9%
dec-97	329	0.8%
nov-00	320	0.8%
nov-99	320	0.8%
oct-98	307	0.8%
sep-00	306	0.8%
nov-97	299	0.8%
Other values (516)	36473	91.7%

Most occurring characters

Value	Count	Frequency (%)
-	39786	16.7%
9	23398	9.8%
0	19383	8.1%
e	10564	4.4%
J	9441	4.0%
u	9319	3.9%
a	9137	3.8%
8	8477	3.6%
c	8160	3.4%
n	6374	2.7%
Other values (23)	94677	39.7%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	79572	33.3%
Decimal Number	79572	33.3%
Uppercase Letter	39786	16.7%
Dash Punctuation	39786	16.7%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	10564	13.3%
u	9319	11.7%
a	9137	11.5%
c	8160	10.3%
n	6374	8.0%
p	6346	8.0%
r	5543	7.0%
t	4082	5.1%
o	3937	4.9%
v	3937	4.9%
Other values (4)	12173	15.3%

Decimal Number

Value	Count	Frequency (%)
9	23398	29.4%
0	19383	24.4%
8	8477	10.7%
7	4829	6.1%
4	4286	5.4%
5	4211	5.3%
6	4178	5.3%
3	3793	4.8%
1	3740	4.7%
2	3277	4.1%

Uppercase Letter

Value	Count	Frequency (%)
J	9441	23.7%
A	6060	15.2%
M	5702	14.3%
O	4082	10.3%
D	4078	10.2%
N	3937	9.9%
S	3599	9.0%
F	2887	7.3%

Dash Punctuation

Value	Count	Frequency (%)
-	39786	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	119358	50.0%
Common	119358	50.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	10564	8.9%
J	9441	7.9%
u	9319	7.8%
a	9137	7.7%
c	8160	6.8%
n	6374	5.3%
p	6346	5.3%
A	6060	5.1%
M	5702	4.8%
r	5543	4.6%
Other values (12)	42712	35.8%

Common

Value	Count	Frequency (%)
-	39786	33.3%
9	23398	19.6%
0	19383	16.2%
8	8477	7.1%
7	4829	4.0%
4	4286	3.6%
5	4211	3.5%
6	4178	3.5%
3	3793	3.2%
1	3740	3.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	238716	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
-	39786	16.7%
9	23398	9.8%
0	19383	8.1%
e	10564	4.4%
J	9441	4.0%
u	9319	3.9%
a	9137	3.8%
8	8477	3.6%
c	8160	3.4%
n	6374	2.7%
Other values (23)	94677	39.7%

inq_last_6mths
Real number (ℝ_≥0)

ZEROS

Distinct	9
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.8690494144

Minimum	0
Maximum	8
Zeros	19337
Zeros (%)	48.6%
Negative	0
Negative (%)	0.0%
Memory size	311.0 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	1
Q3	1
95-th percentile	3
Maximum	8
Range	8
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	1.070069307
Coefficient of variation (CV)	1.231310083
Kurtosis	2.559164109
Mean	0.8690494144
Median Absolute Deviation (MAD)	1
Skewness	1.389834879
Sum	34576
Variance	1.145048321
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=9)

Value	Count	Frequency (%)
0	19337	48.6%
1	10986	27.6%
2	5824	14.6%
3	3053	7.7%
4	326	0.8%
5	146	0.4%
6	64	0.2%
7	35	0.1%
8	15	< 0.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	19337	48.6%
1	10986	27.6%
2	5824	14.6%
3	3053	7.7%
4	326	0.8%
5	146	0.4%
6	64	0.2%
7	35	0.1%
8	15	< 0.1%

Value	Count	Frequency (%)
8	15	< 0.1%
7	35	0.1%
6	64	0.2%
5	146	0.4%
4	326	0.8%
3	3053	7.7%
2	5824	14.6%
1	10986	27.6%
0	19337	48.6%

open_acc
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	40
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	9.294023023

Minimum	2
Maximum	44
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	311.0 KiB

Quantile statistics

Minimum	2
5-th percentile	3
Q1	6
median	9
Q3	12
95-th percentile	17
Maximum	44
Range	42
Interquartile range (IQR)	6

Descriptive statistics

Standard deviation	4.399996911
Coefficient of variation (CV)	0.4734222091
Kurtosis	1.676570497
Mean	9.294023023
Median Absolute Deviation (MAD)	3
Skewness	1.003459847
Sum	369772
Variance	19.35997282
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=40)

Value	Count	Frequency (%)
7	4025	10.1%
6	3954	9.9%
8	3944	9.9%
9	3727	9.4%
10	3227	8.1%
5	3185	8.0%
11	2750	6.9%
4	2346	5.9%
12	2279	5.7%
13	1915	4.8%
Other values (30)	8434	21.2%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
2	608	1.5%
3	1496	3.8%
4	2346	5.9%
5	3185	8.0%
6	3954	9.9%
7	4025	10.1%
8	3944	9.9%
9	3727	9.4%
10	3227	8.1%
11	2750	6.9%

Value	Count	Frequency (%)
44	1	< 0.1%
42	1	< 0.1%
41	1	< 0.1%
39	1	< 0.1%
38	1	< 0.1%
36	2	< 0.1%
35	4	< 0.1%
34	5	< 0.1%
33	3	< 0.1%
32	4	< 0.1%

pub_rec
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	5
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	311.0 KiB

0	37665
1	2060
2	51
3	8
4	2

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	39786
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	37665	94.7%
1	2060	5.2%
2	51	0.1%
3	8	< 0.1%
4	2	< 0.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	37665	94.7%
1	2060	5.2%
2	51	0.1%
3	8	< 0.1%
4	2	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
0	37665	94.7%
1	2060	5.2%
2	51	0.1%
3	8	< 0.1%
4	2	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	39786	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	37665	94.7%
1	2060	5.2%
2	51	0.1%
3	8	< 0.1%
4	2	< 0.1%

Most occurring scripts

Value	Count	Frequency (%)
Common	39786	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	37665	94.7%
1	2060	5.2%
2	51	0.1%
3	8	< 0.1%
4	2	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	39786	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	37665	94.7%
1	2060	5.2%
2	51	0.1%
3	8	< 0.1%
4	2	< 0.1%

revol_bal
Real number (ℝ_≥0)

ZEROS

Distinct	21738
Distinct (%)	54.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	13391.98391

Minimum	0
Maximum	149588
Zeros	996
Zeros (%)	2.5%
Negative	0
Negative (%)	0.0%
Memory size	311.0 KiB

Quantile statistics

Minimum	0
5-th percentile	321.25
Q1	3704.25
median	8859.5
Q3	17065
95-th percentile	41677.5
Maximum	149588
Range	149588
Interquartile range (IQR)	13360.75

Descriptive statistics

Standard deviation	15894.63511
Coefficient of variation (CV)	1.186876807
Kurtosis	14.87369487
Mean	13391.98391
Median Absolute Deviation (MAD)	6035.5
Skewness	3.189403139
Sum	532813472
Variance	252639425.2
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	996	2.5%
255	14	< 0.1%
298	14	< 0.1%
1	12	< 0.1%
682	11	< 0.1%
52	9	< 0.1%
798	9	< 0.1%
10	9	< 0.1%
346	9	< 0.1%
6	9	< 0.1%
Other values (21728)	38694	97.3%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	996	2.5%
1	12	< 0.1%
2	5	< 0.1%
3	6	< 0.1%
4	3	< 0.1%
5	8	< 0.1%
6	9	< 0.1%
7	5	< 0.1%
8	5	< 0.1%
9	8	< 0.1%

Value	Count	Frequency (%)
149588	1	< 0.1%
149527	1	< 0.1%
149000	1	< 0.1%
148829	1	< 0.1%
148804	1	< 0.1%
147897	1	< 0.1%
147750	1	< 0.1%
147559	1	< 0.1%
147451	1	< 0.1%
147365	1	< 0.1%

revol_util
Real number (ℝ_≥0)

ZEROS

Distinct	1090
Distinct (%)	2.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	48.85812336

Minimum	0
Maximum	99.9
Zeros	980
Zeros (%)	2.5%
Negative	0
Negative (%)	0.0%
Memory size	311.0 KiB

Quantile statistics

Minimum	0
5-th percentile	2.7
Q1	25.5
median	49.3
Q3	72.4
95-th percentile	93.5
Maximum	99.9
Range	99.9
Interquartile range (IQR)	46.9

Descriptive statistics

Standard deviation	28.31881886
Coefficient of variation (CV)	0.5796133153
Kurtosis	-1.1033789
Mean	48.85812336
Median Absolute Deviation (MAD)	23.4
Skewness	-0.03495265605
Sum	1943869.296
Variance	801.9555018
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	980	2.5%
0.2	63	0.2%
63	62	0.2%
40.7	59	0.1%
0.1	58	0.1%
66.7	58	0.1%
31.2	57	0.1%
66.6	57	0.1%
70.4	57	0.1%
46.4	57	0.1%
Other values (1080)	38278	96.2%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	980	2.5%
0.01	1	< 0.1%
0.03	1	< 0.1%
0.04	1	< 0.1%
0.05	1	< 0.1%
0.1	58	0.1%
0.12	1	< 0.1%
0.16	1	< 0.1%
0.2	63	0.2%
0.3	42	0.1%

Value	Count	Frequency (%)
99.9	26	0.1%
99.8	23	0.1%
99.7	31	0.1%
99.6	24	0.1%
99.5	24	0.1%
99.4	21	0.1%
99.3	30	0.1%
99.2	17	< 0.1%
99.1	30	0.1%
99	32	0.1%

total_acc
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	82
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	22.09030815

Minimum	2
Maximum	90
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	311.0 KiB

Quantile statistics

Minimum	2
5-th percentile	7
Q1	13
median	20
Q3	29
95-th percentile	43
Maximum	90
Range	88
Interquartile range (IQR)	16

Descriptive statistics

Standard deviation	11.40162035
Coefficient of variation (CV)	0.5161367725
Kurtosis	0.6931800448
Mean	22.09030815
Median Absolute Deviation (MAD)	7
Skewness	0.8273519184
Sum	878885
Variance	129.9969467
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
16	1475	3.7%
15	1465	3.7%
17	1461	3.7%
14	1449	3.6%
20	1430	3.6%
18	1423	3.6%
21	1416	3.6%
13	1388	3.5%
19	1343	3.4%
12	1327	3.3%
Other values (72)	25609	64.4%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
2	4	< 0.1%
3	182	0.5%
4	420	1.1%
5	553	1.4%
6	684	1.7%
7	831	2.1%
8	1006	2.5%
9	1081	2.7%
10	1194	3.0%
11	1279	3.2%

Value	Count	Frequency (%)
90	1	< 0.1%
87	1	< 0.1%
81	1	< 0.1%
80	1	< 0.1%
79	2	< 0.1%
78	1	< 0.1%
77	1	< 0.1%
76	2	< 0.1%
75	2	< 0.1%
74	1	< 0.1%

initial_list_status
Boolean

CONSTANT
HIGH CORRELATION
REJECTED

Distinct	1
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	39.0 KiB

False	39786

Common Values
Chart

Value	Count	Frequency (%)
False	39786	100.0%

out_prncp
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
SKEWED
ZEROS

Distinct	17
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.2436520384

Minimum	0
Maximum	1974.73
Zeros	39770
Zeros (%)	> 99.9%
Negative	0
Negative (%)	0.0%
Memory size	311.0 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	0
Maximum	1974.73
Range	1974.73
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	16.51972993
Coefficient of variation (CV)	67.80049961
Kurtosis	8602.865471
Mean	0.2436520384
Median Absolute Deviation (MAD)	0
Skewness	87.30770026
Sum	9693.94
Variance	272.9014771
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=17)

Value	Count	Frequency (%)
0	39770	> 99.9%
5.99	1	< 0.1%
156.66	1	< 0.1%
694.41	1	< 0.1%
77.23	1	< 0.1%
945.46	1	< 0.1%
496.25	1	< 0.1%
415.31	1	< 0.1%
1429.29	1	< 0.1%
1480.79	1	< 0.1%
Other values (7)	7	< 0.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	39770	> 99.9%
5.99	1	< 0.1%
26.06	1	< 0.1%
77.23	1	< 0.1%
115.13	1	< 0.1%
156.66	1	< 0.1%
409.05	1	< 0.1%
415.31	1	< 0.1%
488.1	1	< 0.1%
488.6	1	< 0.1%

Value	Count	Frequency (%)
1974.73	1	< 0.1%
1480.79	1	< 0.1%
1429.29	1	< 0.1%
945.46	1	< 0.1%
694.41	1	< 0.1%
496.25	1	< 0.1%
490.88	1	< 0.1%
488.6	1	< 0.1%
488.1	1	< 0.1%
415.31	1	< 0.1%

out_prncp_inv
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
SKEWED
ZEROS

Distinct	17
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.243007842

Minimum	0
Maximum	1972.73
Zeros	39770
Zeros (%)	> 99.9%
Negative	0
Negative (%)	0.0%
Memory size	311.0 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	0
Maximum	1972.73
Range	1972.73
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	16.48698512
Coefficient of variation (CV)	67.84548592
Kurtosis	8627.628325
Mean	0.243007842
Median Absolute Deviation (MAD)	0
Skewness	87.43436316
Sum	9668.31
Variance	271.8206783
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=17)

Value	Count	Frequency (%)
0	39770	> 99.9%
415.31	1	< 0.1%
77.23	1	< 0.1%
484.99	1	< 0.1%
1477.09	1	< 0.1%
1972.73	1	< 0.1%
945.46	1	< 0.1%
496.25	1	< 0.1%
5.99	1	< 0.1%
26.06	1	< 0.1%
Other values (7)	7	< 0.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	39770	> 99.9%
5.99	1	< 0.1%
26.06	1	< 0.1%
77.23	1	< 0.1%
114.92	1	< 0.1%
156.66	1	< 0.1%
408.38	1	< 0.1%
415.31	1	< 0.1%
484.99	1	< 0.1%
487.89	1	< 0.1%

Value	Count	Frequency (%)
1972.73	1	< 0.1%
1477.09	1	< 0.1%
1429.29	1	< 0.1%
945.46	1	< 0.1%
681.96	1	< 0.1%
496.25	1	< 0.1%
488.1	1	< 0.1%
487.89	1	< 0.1%
484.99	1	< 0.1%
415.31	1	< 0.1%

total_pymnt
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	37820
Distinct (%)	95.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	12229.74916

Minimum	0
Maximum	58886.47343
Zeros	16
Zeros (%)	< 0.1%
Negative	0
Negative (%)	0.0%
Memory size	311.0 KiB

Quantile statistics

Minimum	0
5-th percentile	1891.43
Q1	5583.267107
median	9934.743269
Q3	16626.21851
95-th percentile	30502.43109
Maximum	58886.47343
Range	58886.47343
Interquartile range (IQR)	11042.9514

Descriptive statistics

Standard deviation	9165.377882
Coefficient of variation (CV)	0.7494330231
Kurtosis	2.137515412
Mean	12229.74916
Median Absolute Deviation (MAD)	5052.34814
Skewness	1.371597465
Sum	486572800
Variance	84004151.73
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
11196.56943	26	0.1%
0	16	< 0.1%
10956.77596	16	< 0.1%
11784.23223	16	< 0.1%
5478.387981	15	< 0.1%
13148.13786	15	< 0.1%
5557.025543	13	< 0.1%
13435.90021	13	< 0.1%
13263.95464	12	< 0.1%
5598.284713	11	< 0.1%
Other values (37810)	39633	99.6%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	16	< 0.1%
33.97	1	< 0.1%
35.9	1	< 0.1%
44.92	2	< 0.1%
44.96	1	< 0.1%
61.71	1	< 0.1%
62.86	1	< 0.1%
66.94	1	< 0.1%
67.32	1	< 0.1%
69.78	1	< 0.1%

Value	Count	Frequency (%)
58886.47343	1	< 0.1%
58563.67993	1	< 0.1%
58480.13992	1	< 0.1%
58133.3199	1	< 0.1%
58090.95207	1	< 0.1%
58071.19982	1	< 0.1%
58071.19977	1	< 0.1%
57997.27995	1	< 0.1%
57835.27991	1	< 0.1%
57143.25996	1	< 0.1%

total_pymnt_inv
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	37555
Distinct (%)	94.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	11643.38972

Minimum	0
Maximum	58563.68
Zeros	165
Zeros (%)	0.4%
Negative	0
Negative (%)	0.0%
Memory size	311.0 KiB

Quantile statistics

Minimum	0
5-th percentile	1424.37
Q1	5121.1525
median	9311.345
Q3	15904.7975
95-th percentile	29896.3675
Maximum	58563.68
Range	58563.68
Interquartile range (IQR)	10783.645

Descriptive statistics

Standard deviation	9068.751337
Coefficient of variation (CV)	0.7788755297
Kurtosis	2.189926957
Mean	11643.38972
Median Absolute Deviation (MAD)	4962.965
Skewness	1.388077605
Sum	463243903.4
Variance	82242250.81
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	165	0.4%
6514.52	16	< 0.1%
5478.39	14	< 0.1%
13148.14	14	< 0.1%
11196.57	12	< 0.1%
10956.78	12	< 0.1%
6717.95	12	< 0.1%
5557.03	11	< 0.1%
7328.92	11	< 0.1%
13517.36	11	< 0.1%
Other values (37545)	39508	99.3%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	165	0.4%
0.54	1	< 0.1%
12.65	1	< 0.1%
18.97	1	< 0.1%
21.6	1	< 0.1%
25.18	1	< 0.1%
26.19	1	< 0.1%
33.97	1	< 0.1%
33.99	1	< 0.1%
35.9	1	< 0.1%

Value	Count	Frequency (%)
58563.68	1	< 0.1%
58514.93	1	< 0.1%
58438.37	1	< 0.1%
58056.4	1	< 0.1%
57967.53	1	< 0.1%
57953.69	1	< 0.1%
57863.51	1	< 0.1%
57672.74	1	< 0.1%
57628.73	1	< 0.1%
57143.26	1	< 0.1%

total_rec_prncp
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	6920
Distinct (%)	17.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	9855.330536

Minimum	0
Maximum	35000.02
Zeros	74
Zeros (%)	0.2%
Negative	0
Negative (%)	0.0%
Memory size	311.0 KiB

Quantile statistics

Minimum	0
5-th percentile	1342.9175
Q1	4620.91
median	8000
Q3	14000
95-th percentile	25000
Maximum	35000.02
Range	35000.02
Interquartile range (IQR)	9379.09

Descriptive statistics

Standard deviation	7143.226346
Coefficient of variation (CV)	0.7248083989
Kurtosis	1.120339938
Mean	9855.330536
Median Absolute Deviation (MAD)	4000
Skewness	1.127789978
Sum	392104180.7
Variance	51025682.63
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
10000	2316	5.8%
12000	1889	4.7%
5000	1726	4.3%
6000	1659	4.2%
15000	1453	3.7%
8000	1338	3.4%
20000	1146	2.9%
4000	964	2.4%
3000	895	2.2%
7000	861	2.2%
Other values (6910)	25539	64.2%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	74	0.2%
21.21	1	< 0.1%
21.93	1	< 0.1%
22.24	1	< 0.1%
22.5	1	< 0.1%
24.87	1	< 0.1%
30.32	1	< 0.1%
32.51	1	< 0.1%
34.5	1	< 0.1%
35.14	1	< 0.1%

Value	Count	Frequency (%)
35000.02	2	< 0.1%
35000.01	1	< 0.1%
35000	417	1.0%
34999.99	7	< 0.1%
34999.98	1	< 0.1%
34999.97	1	< 0.1%
34997.12	1	< 0.1%
34800	1	< 0.1%
34675	1	< 0.1%
34525	1	< 0.1%

total_rec_int
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	35047
Distinct (%)	88.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2276.328632

Minimum	0
Maximum	23886.47
Zeros	71
Zeros (%)	0.2%
Negative	0
Negative (%)	0.0%
Memory size	311.0 KiB

Quantile statistics

Minimum	0
5-th percentile	186.57
Q1	663.045
median	1352.805
Q3	2845.5675
95-th percentile	7615.6875
Maximum	23886.47
Range	23886.47
Interquartile range (IQR)	2182.5225

Descriptive statistics

Standard deviation	2632.387428
Coefficient of variation (CV)	1.156418011
Kurtosis	9.755509659
Mean	2276.328632
Median Absolute Deviation (MAD)	869.235
Skewness	2.679189534
Sum	90566010.94
Variance	6929463.573
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	71	0.2%
1196.57	26	0.1%
514.52	19	< 0.1%
717.95	17	< 0.1%
1148.14	17	< 0.1%
1784.23	17	< 0.1%
956.78	17	< 0.1%
478.39	16	< 0.1%
1907.35	14	< 0.1%
632.21	13	< 0.1%
Other values (35037)	39559	99.4%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	71	0.2%
6.22	1	< 0.1%
6.27	1	< 0.1%
7.19	1	< 0.1%
7.2	2	< 0.1%
8.23	1	< 0.1%
9.34	1	< 0.1%
9.49	1	< 0.1%
9.58	2	< 0.1%
10.26	1	< 0.1%

Value	Count	Frequency (%)
23886.47	1	< 0.1%
23563.68	1	< 0.1%
23480.14	1	< 0.1%
23090.95	1	< 0.1%
23084.93	1	< 0.1%
23071.2	2	< 0.1%
22997.28	1	< 0.1%
22835.28	1	< 0.1%
22700.39	1	< 0.1%
22143.26	1	< 0.1%

total_rec_late_fee
Real number (ℝ_≥0)

ZEROS

Distinct	1364
Distinct (%)	3.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1.388346185

Minimum	0
Maximum	180.2
Zeros	37708
Zeros (%)	94.8%
Negative	0
Negative (%)	0.0%
Memory size	311.0 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	14.9400886
Maximum	180.2
Range	180.2
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	7.397534781
Coefficient of variation (CV)	5.328307063
Kurtosis	102.7203214
Mean	1.388346185
Median Absolute Deviation (MAD)	0
Skewness	8.475550177
Sum	55236.7413
Variance	54.72352084
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	37708	94.8%
15	258	0.6%
15.00000001	63	0.2%
30	54	0.1%
15.00000002	48	0.1%
14.99999999	40	0.1%
14.99999998	35	0.1%
15.00000003	33	0.1%
15.00000004	26	0.1%
14.99999997	25	0.1%
Other values (1354)	1496	3.8%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	37708	94.8%
0.01	1	< 0.1%
0.060799751	1	< 0.1%
0.073787104	1	< 0.1%
0.101704562	1	< 0.1%
0.139999999	1	< 0.1%
0.180082904	1	< 0.1%
0.18477362	1	< 0.1%
0.27	1	< 0.1%
0.302036553	1	< 0.1%

Value	Count	Frequency (%)
180.2	1	< 0.1%
170.7600004	1	< 0.1%
166.4297107	1	< 0.1%
165.69	1	< 0.1%
146.6000003	1	< 0.1%
146.04	1	< 0.1%
134.0700007	1	< 0.1%
130.5970372	1	< 0.1%
130.47	1	< 0.1%
127.7878136	1	< 0.1%

recoveries
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	4571
Distinct (%)	11.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	96.70172637

Minimum	0
Maximum	29623.35
Zeros	34186
Zeros (%)	85.9%
Negative	0
Negative (%)	0.0%
Memory size	311.0 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	378.2425
Maximum	29623.35
Range	29623.35
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	695.7286586
Coefficient of variation (CV)	7.194583641
Kurtosis	379.9767767
Mean	96.70172637
Median Absolute Deviation (MAD)	0
Skewness	16.54855892
Sum	3847374.885
Variance	484038.3664
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	34186	85.9%
0.3	13	< 0.1%
1.8	10	< 0.1%
4.2	9	< 0.1%
1.2	9	< 0.1%
0.72	8	< 0.1%
2.4	8	< 0.1%
1.76	8	< 0.1%
1.15	8	< 0.1%
3.36	7	< 0.1%
Other values (4561)	5520	13.9%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	34186	85.9%
0.01	3	< 0.1%
0.02	3	< 0.1%
0.03	3	< 0.1%
0.04	5	< 0.1%
0.05	2	< 0.1%
0.06	5	< 0.1%
0.07	3	< 0.1%
0.08	2	< 0.1%
0.09	4	< 0.1%

Value	Count	Frequency (%)
29623.35	1	< 0.1%
22943.37	1	< 0.1%
21811.73	1	< 0.1%
21110.86	1	< 0.1%
20008.4	1	< 0.1%
19916.78	1	< 0.1%
19508.26	1	< 0.1%
18694.79	1	< 0.1%
16503.12	1	< 0.1%
16268.35	1	< 0.1%

collection_recovery_fee
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
SKEWED
ZEROS

Distinct	2663
Distinct (%)	6.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	12.62538968

Minimum	0
Maximum	7002.19
Zeros	35958
Zeros (%)	90.4%
Negative	0
Negative (%)	0.0%
Memory size	311.0 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	5.364800002
Maximum	7002.19
Range	7002.19
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	149.8555039
Coefficient of variation (CV)	11.86937653
Kurtosis	804.9632081
Mean	12.62538968
Median Absolute Deviation (MAD)	0
Skewness	24.82250475
Sum	502313.7537
Variance	22456.67204
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	35958	90.4%
2	12	< 0.1%
1.2	10	< 0.1%
3.71	9	< 0.1%
2.02	8	< 0.1%
1.69	8	< 0.1%
1.88	8	< 0.1%
0.8	8	< 0.1%
1.6	8	< 0.1%
2.52	8	< 0.1%
Other values (2653)	3749	9.4%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	35958	90.4%
0.063	1	< 0.1%
0.074500001	1	< 0.1%
0.134799995	1	< 0.1%
0.1393	1	< 0.1%
0.16	1	< 0.1%
0.1952	1	< 0.1%
0.197899999	1	< 0.1%
0.200700001	1	< 0.1%
0.2147	1	< 0.1%

Value	Count	Frequency (%)
7002.19	1	< 0.1%
6972.59	1	< 0.1%
6543.04	1	< 0.1%
5774.8	1	< 0.1%
5602.72	1	< 0.1%
5569.92	1	< 0.1%
5216.74	1	< 0.1%
5036.01	1	< 0.1%
4902.08	1	< 0.1%
4900.75	1	< 0.1%

last_pymnt_d
Categorical

HIGH CARDINALITY

Distinct	109
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	43.9 KiB

Mar-13	1097
Dec-14	945
May-13	907
Feb-13	869
Apr-13	851
Other values (104)	35117

Length

Max length	6
Median length	6
Mean length	6
Min length	6

Characters and Unicode

Total characters	238716
Distinct characters	33
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	< 0.1%

Sample

1st row	Jan-15
2nd row	Apr-13
3rd row	Jun-14
4th row	Jan-15
5th row	Jan-17

Common Values

Value	Count	Frequency (%)
Mar-13	1097	2.8%
Dec-14	945	2.4%
May-13	907	2.3%
Feb-13	869	2.2%
Apr-13	851	2.1%
Mar-12	844	2.1%
Aug-12	832	2.1%
Aug-14	832	2.1%
Jan-14	832	2.1%
Oct-12	826	2.1%
Other values (99)	30951	77.8%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
mar-13	1097	2.8%
dec-14	945	2.4%
may-13	907	2.3%
feb-13	869	2.2%
apr-13	851	2.1%
mar-12	844	2.1%
aug-14	832	2.1%
aug-12	832	2.1%
jan-14	832	2.1%
oct-12	826	2.1%
Other values (99)	30951	77.8%

Most occurring characters

Value	Count	Frequency (%)
1	44086	18.5%
-	39786	16.7%
a	10135	4.2%
e	10093	4.2%
u	9873	4.1%
J	9548	4.0%
3	9529	4.0%
4	9269	3.9%
2	8904	3.7%
c	7129	3.0%
Other values (23)	80364	33.7%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	79572	33.3%
Decimal Number	79572	33.3%
Uppercase Letter	39786	16.7%
Dash Punctuation	39786	16.7%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	10135	12.7%
e	10093	12.7%
u	9873	12.4%
c	7129	9.0%
r	7003	8.8%
p	6346	8.0%
n	6176	7.8%
t	3437	4.3%
g	3396	4.3%
l	3372	4.2%
Other values (4)	12612	15.8%

Decimal Number

Value	Count	Frequency (%)
1	44086	55.4%
3	9529	12.0%
4	9269	11.6%
2	8904	11.2%
0	2544	3.2%
5	2433	3.1%
6	2084	2.6%
9	559	0.7%
8	137	0.2%
7	27	< 0.1%

Uppercase Letter

Value	Count	Frequency (%)
J	9548	24.0%
M	7064	17.8%
A	6557	16.5%
D	3692	9.3%
O	3437	8.6%
F	3216	8.1%
S	3185	8.0%
N	3087	7.8%

Dash Punctuation

Value	Count	Frequency (%)
-	39786	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	119358	50.0%
Common	119358	50.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	10135	8.5%
e	10093	8.5%
u	9873	8.3%
J	9548	8.0%
c	7129	6.0%
M	7064	5.9%
r	7003	5.9%
A	6557	5.5%
p	6346	5.3%
n	6176	5.2%
Other values (12)	39434	33.0%

Common

Value	Count	Frequency (%)
1	44086	36.9%
-	39786	33.3%
3	9529	8.0%
4	9269	7.8%
2	8904	7.5%
0	2544	2.1%
5	2433	2.0%
6	2084	1.7%
9	559	0.5%
8	137	0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	238716	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	44086	18.5%
-	39786	16.7%
a	10135	4.2%
e	10093	4.2%
u	9873	4.1%
J	9548	4.0%
3	9529	4.0%
4	9269	3.9%
2	8904	3.7%
c	7129	3.0%
Other values (23)	80364	33.7%

last_pymnt_amnt
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	35241
Distinct (%)	88.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2679.092793

Minimum	0
Maximum	36115.2
Zeros	75
Zeros (%)	0.2%
Negative	0
Negative (%)	0.0%
Memory size	311.0 KiB

Quantile statistics

Minimum	0
5-th percentile	41.9625
Q1	218.0725
median	549.425
Q3	3292.1225
95-th percentile	12175.15
Maximum	36115.2
Range	36115.2
Interquartile range (IQR)	3074.05

Descriptive statistics

Standard deviation	4443.38302
Coefficient of variation (CV)	1.658540172
Kurtosis	8.886691235
Mean	2679.092793
Median Absolute Deviation (MAD)	455.41
Skewness	2.714116109
Sum	106590385.8
Variance	19743652.66
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	75	0.2%
200	17	< 0.1%
50	15	< 0.1%
100	15	< 0.1%
400	12	< 0.1%
150	11	< 0.1%
275.74	11	< 0.1%
500	10	< 0.1%
276.06	9	< 0.1%
250	8	< 0.1%
Other values (35231)	39603	99.5%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	75	0.2%
0.01	1	< 0.1%
0.02	1	< 0.1%
0.03	1	< 0.1%
0.06	1	< 0.1%
0.13	1	< 0.1%
0.16	2	< 0.1%
0.2	1	< 0.1%
0.22	1	< 0.1%
0.24	1	< 0.1%

Value	Count	Frequency (%)
36115.2	1	< 0.1%
35613.68	1	< 0.1%
35596.41	1	< 0.1%
35479.89	1	< 0.1%
35471.86	1	< 0.1%
35395.59	1	< 0.1%
35339.05	1	< 0.1%
35337.09	1	< 0.1%
35322.96	1	< 0.1%
35322.6	1	< 0.1%

last_credit_pull_d
Categorical

HIGH CARDINALITY

Distinct	114
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	43.9 KiB

Jan-17	10471
Oct-16	4498
Dec-16	862
Nov-16	727
Mar-16	693
Other values (109)	22535

Length

Max length	6
Median length	6
Mean length	6
Min length	6

Characters and Unicode

Total characters	238716
Distinct characters	33
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	6 ?
Unique (%)	< 0.1%

Sample

1st row	Jan-17
2nd row	Oct-16
3rd row	Jan-17
4th row	Apr-16
5th row	Jan-17

Common Values

Value	Count	Frequency (%)
Jan-17	10471	26.3%
Oct-16	4498	11.3%
Dec-16	862	2.2%
Nov-16	727	1.8%
Mar-16	693	1.7%
Feb-13	638	1.6%
Apr-16	546	1.4%
Aug-16	525	1.3%
Feb-16	496	1.2%
Jul-16	482	1.2%
Other values (104)	19848	49.9%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
jan-17	10471	26.3%
oct-16	4498	11.3%
dec-16	862	2.2%
nov-16	727	1.8%
mar-16	693	1.7%
feb-13	638	1.6%
apr-16	546	1.4%
aug-16	525	1.3%
feb-16	496	1.2%
jul-16	482	1.2%
Other values (104)	19848	49.9%

Most occurring characters

Value	Count	Frequency (%)
1	41307	17.3%
-	39786	16.7%
a	16351	6.8%
J	15921	6.7%
n	13836	5.8%
6	10541	4.4%
7	10506	4.4%
c	8719	3.7%
e	6994	2.9%
O	6101	2.6%
Other values (23)	68654	28.8%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	79572	33.3%
Decimal Number	79572	33.3%
Uppercase Letter	39786	16.7%
Dash Punctuation	39786	16.7%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	16351	20.5%
n	13836	17.4%
c	8719	11.0%
e	6994	8.8%
t	6101	7.7%
u	6029	7.6%
r	4348	5.5%
p	4008	5.0%
o	2370	3.0%
v	2370	3.0%
Other values (4)	8446	10.6%

Decimal Number

Value	Count	Frequency (%)
1	41307	51.9%
6	10541	13.2%
7	10506	13.2%
4	4949	6.2%
5	4036	5.1%
3	3947	5.0%
2	3122	3.9%
0	939	1.2%
9	185	0.2%
8	40	0.1%

Uppercase Letter

Value	Count	Frequency (%)
J	15921	40.0%
O	6101	15.3%
M	4320	10.9%
A	4080	10.3%
D	2618	6.6%
N	2370	6.0%
F	2309	5.8%
S	2067	5.2%

Dash Punctuation

Value	Count	Frequency (%)
-	39786	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	119358	50.0%
Common	119358	50.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	16351	13.7%
J	15921	13.3%
n	13836	11.6%
c	8719	7.3%
e	6994	5.9%
O	6101	5.1%
t	6101	5.1%
u	6029	5.1%
r	4348	3.6%
M	4320	3.6%
Other values (12)	30638	25.7%

Common

Value	Count	Frequency (%)
1	41307	34.6%
-	39786	33.3%
6	10541	8.8%
7	10506	8.8%
4	4949	4.1%
5	4036	3.4%
3	3947	3.3%
2	3122	2.6%
0	939	0.8%
9	185	0.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	238716	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	41307	17.3%
-	39786	16.7%
a	16351	6.8%
J	15921	6.7%
n	13836	5.8%
6	10541	4.4%
7	10506	4.4%
c	8719	3.7%
e	6994	2.9%
O	6101	2.6%
Other values (23)	68654	28.8%

collections_12_mths_ex_med
Categorical

CONSTANT
HIGH CORRELATION
REJECTED

Distinct	1
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	311.0 KiB

0.0	39786

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	119358
Distinct characters	2
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	39786	100.0%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0.0	39786	100.0%

Most occurring characters

Value	Count	Frequency (%)
0	79572	66.7%
.	39786	33.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	79572	66.7%
Other Punctuation	39786	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	79572	100.0%

Other Punctuation

Value	Count	Frequency (%)
.	39786	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	119358	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	79572	66.7%
.	39786	33.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	119358	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	79572	66.7%
.	39786	33.3%

application_type
Categorical

CONSTANT
HIGH CORRELATION
REJECTED

Distinct	1
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	311.0 KiB

INDIVIDUAL	39786

Length

Max length	10
Median length	10
Mean length	10
Min length	10

Characters and Unicode

Total characters	397860
Distinct characters	7
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	INDIVIDUAL
2nd row	INDIVIDUAL
3rd row	INDIVIDUAL
4th row	INDIVIDUAL
5th row	INDIVIDUAL

Common Values

Value	Count	Frequency (%)
INDIVIDUAL	39786	100.0%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
individual	39786	100.0%

Most occurring characters

Value	Count	Frequency (%)
I	119358	30.0%
D	79572	20.0%
N	39786	10.0%
V	39786	10.0%
U	39786	10.0%
A	39786	10.0%
L	39786	10.0%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	397860	100.0%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
I	119358	30.0%
D	79572	20.0%
N	39786	10.0%
V	39786	10.0%
U	39786	10.0%
A	39786	10.0%
L	39786	10.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	397860	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
I	119358	30.0%
D	79572	20.0%
N	39786	10.0%
V	39786	10.0%
U	39786	10.0%
A	39786	10.0%
L	39786	10.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	397860	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
I	119358	30.0%
D	79572	20.0%
N	39786	10.0%
V	39786	10.0%
U	39786	10.0%
A	39786	10.0%
L	39786	10.0%

chargeoff_within_12_mths
Categorical

CONSTANT
HIGH CORRELATION
REJECTED

Distinct	1
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	311.0 KiB

0.0	39786

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	119358
Distinct characters	2
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	39786	100.0%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0.0	39786	100.0%

Most occurring characters

Value	Count	Frequency (%)
0	79572	66.7%
.	39786	33.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	79572	66.7%
Other Punctuation	39786	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	79572	100.0%

Other Punctuation

Value	Count	Frequency (%)
.	39786	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	119358	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	79572	66.7%
.	39786	33.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	119358	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	79572	66.7%
.	39786	33.3%

delinq_amnt
Categorical

CONSTANT
HIGH CORRELATION
REJECTED

Distinct	1
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	311.0 KiB

0	39786

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	39786
Distinct characters	1
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	39786	100.0%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	39786	100.0%

Most occurring characters

Value	Count	Frequency (%)
0	39786	100.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	39786	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	39786	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	39786	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	39786	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	39786	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	39786	100.0%

pub_rec_bankruptcies
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	311.0 KiB

0.0	37404
1.0	1678
0.04328583488961089	697
2.0	7

Length

Max length	19
Median length	3
Mean length	3.280299603
Min length	3

Characters and Unicode

Total characters	130510
Distinct characters	10
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	37404	94.0%
1.0	1678	4.2%
0.04328583488961089	697	1.8%
2.0	7	< 0.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0.0	37404	94.0%
1.0	1678	4.2%
0.04328583488961089	697	1.8%
2.0	7	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
0	78584	60.2%
.	39786	30.5%
8	3485	2.7%
1	2375	1.8%
4	1394	1.1%
3	1394	1.1%
9	1394	1.1%
2	704	0.5%
5	697	0.5%
6	697	0.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	90724	69.5%
Other Punctuation	39786	30.5%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	78584	86.6%
8	3485	3.8%
1	2375	2.6%
4	1394	1.5%
3	1394	1.5%
9	1394	1.5%
2	704	0.8%
5	697	0.8%
6	697	0.8%

Other Punctuation

Value	Count	Frequency (%)
.	39786	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	130510	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	78584	60.2%
.	39786	30.5%
8	3485	2.7%
1	2375	1.8%
4	1394	1.1%
3	1394	1.1%
9	1394	1.1%
2	704	0.5%
5	697	0.5%
6	697	0.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	130510	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	78584	60.2%
.	39786	30.5%
8	3485	2.7%
1	2375	1.8%
4	1394	1.1%
3	1394	1.1%
9	1394	1.1%
2	704	0.5%
5	697	0.5%
6	697	0.5%

tax_liens
Categorical

CONSTANT
HIGH CORRELATION
REJECTED

Distinct	1
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	311.0 KiB

0.0	39786

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	119358
Distinct characters	2
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	39786	100.0%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0.0	39786	100.0%

Most occurring characters

Value	Count	Frequency (%)
0	79572	66.7%
.	39786	33.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	79572	66.7%
Other Punctuation	39786	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	79572	100.0%

Other Punctuation

Value	Count	Frequency (%)
.	39786	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	119358	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	79572	66.7%
.	39786	33.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	119358	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	79572	66.7%
.	39786	33.3%

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

Count
Matrix

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

First rows

	id	member_id	loan_amnt	funded_amnt	funded_amnt_inv	term	int_rate	installment	grade	sub_grade	emp_length	home_ownership	annual_inc	verification_status	issue_d	loan_status	pymnt_plan	zip_code	addr_state	dti	earliest_cr_line	inq_last_6mths	open_acc	revol_bal	revol_util	total_acc	initial_list_status	total_pymnt	total_pymnt_inv	total_rec_prncp	total_rec_int	total_rec_late_fee	recoveries	collection_recovery_fee	last_pymnt_d	last_pymnt_amnt	last_credit_pull_d	application_type
0	1077501	1296599	5000	5000	4975.0	36 months	10.65	162.87	B	B2	10+ years	RENT	24000.0	Verified	Dec-11	Fully Paid	n	860xx	AZ	27.65	Jan-85	1	3	13648	83.7	9	f	5863.155187	5833.84	5000.00	863.16	0.00	0.00	0.00	Jan-15	171.62	Jan-17	INDIVIDUAL
1	1077430	1314167	2500	2500	2500.0	60 months	15.27	59.83	C	C4	< 1 year	RENT	30000.0	Source Verified	Dec-11	Charged Off	n	309xx	GA	1.00	Apr-99	5	3	1687	9.4	4	f	1014.530000	1014.53	456.46	435.17	0.00	122.90	1.11	Apr-13	119.66	Oct-16	INDIVIDUAL
2	1077175	1313524	2400	2400	2400.0	36 months	15.96	84.33	C	C5	10+ years	RENT	12252.0	Not Verified	Dec-11	Fully Paid	n	606xx	IL	8.72	Nov-01	2	2	2956	98.5	10	f	3005.666844	3005.67	2400.00	605.67	0.00	0.00	0.00	Jun-14	649.91	Jan-17	INDIVIDUAL
3	1076863	1277178	10000	10000	10000.0	36 months	13.49	339.31	C	C1	10+ years	RENT	49200.0	Source Verified	Dec-11	Fully Paid	n	917xx	CA	20.00	Feb-96	1	10	5598	21.0	37	f	12231.890000	12231.89	10000.00	2214.92	16.97	0.00	0.00	Jan-15	357.48	Apr-16	INDIVIDUAL
4	1075358	1311748	3000	3000	3000.0	60 months	12.69	67.79	B	B5	1 year	RENT	80000.0	Source Verified	Dec-11	Fully Paid	n	972xx	OR	17.94	Jan-96	0	15	27783	53.9	38	f	4066.908161	4066.91	3000.00	1066.91	0.00	0.00	0.00	Jan-17	67.30	Jan-17	INDIVIDUAL
5	1075269	1311441	5000	5000	5000.0	36 months	7.90	156.46	A	A4	3 years	RENT	36000.0	Source Verified	Dec-11	Fully Paid	n	852xx	AZ	11.20	Nov-04	3	9	7963	28.3	12	f	5632.210000	5632.21	5000.00	632.21	0.00	0.00	0.00	Jan-15	161.03	Jan-16	INDIVIDUAL
6	1069639	1304742	7000	7000	7000.0	60 months	15.96	170.08	C	C5	8 years	RENT	47004.0	Not Verified	Dec-11	Fully Paid	n	280xx	NC	23.51	Jul-05	1	7	17726	85.6	11	f	10137.840010	10137.84	7000.00	3137.84	0.00	0.00	0.00	May-16	1313.76	Sep-16	INDIVIDUAL
7	1072053	1288686	3000	3000	3000.0	36 months	18.64	109.43	E	E1	9 years	RENT	48000.0	Source Verified	Dec-11	Fully Paid	n	900xx	CA	5.35	Jan-07	2	4	8221	87.5	4	f	3939.135294	3939.14	3000.00	939.14	0.00	0.00	0.00	Jan-15	111.34	Dec-14	INDIVIDUAL
8	1071795	1306957	5600	5600	5600.0	60 months	21.28	152.39	F	F2	4 years	OWN	40000.0	Source Verified	Dec-11	Charged Off	n	958xx	CA	5.55	Apr-04	2	11	5210	32.6	13	f	647.500000	647.50	162.02	294.94	0.00	190.54	2.09	Apr-12	152.39	Oct-16	INDIVIDUAL
9	1071570	1306721	5375	5375	5350.0	60 months	12.69	121.45	B	B5	< 1 year	RENT	15000.0	Verified	Dec-11	Charged Off	n	774xx	TX	18.08	Sep-04	0	2	9279	36.5	3	f	1484.590000	1477.70	673.48	533.42	0.00	277.69	2.52	Nov-12	121.45	Dec-16	INDIVIDUAL

Last rows

	id	member_id	loan_amnt	funded_amnt	funded_amnt_inv	term	int_rate	installment	grade	sub_grade	emp_length	home_ownership	annual_inc	verification_status	issue_d	loan_status	pymnt_plan	zip_code	addr_state	dti	delinq_2yrs	earliest_cr_line	inq_last_6mths	open_acc	pub_rec	revol_bal	revol_util	total_acc	initial_list_status	total_pymnt	total_pymnt_inv	total_rec_prncp	total_rec_int	last_pymnt_d	last_pymnt_amnt	last_credit_pull_d	application_type	pub_rec_bankruptcies
39776	92666	92661	5000	5000	525.0	36 months	9.33	159.77	B	B3	2 years	MORTGAGE	180000.0	Not Verified	Jul-07	Fully Paid	n	530xx	WI	11.93	0	Feb-95	1	16	0	60568	39.2	38	f	5751.530533	603.91	5000.0	751.53	Jul-10	161.55	Jun-07	INDIVIDUAL	0.043286
39777	92552	92542	5000	5000	375.0	36 months	9.96	161.25	B	B5	4 years	MORTGAGE	48000.0	Not Verified	Jul-07	Fully Paid	n	333xx	FL	8.03	0	Aug-95	1	6	0	28329	48.6	6	f	5804.732505	435.36	5000.0	804.73	Jul-10	162.07	Jun-10	INDIVIDUAL	0.043286
39778	92533	92529	5000	5000	675.0	36 months	11.22	164.23	C	C4	< 1 year	OWN	80000.0	Not Verified	Jul-07	Fully Paid	n	537xx	WI	1.21	0	Jul-96	3	15	1	27185	16.1	29	f	5912.052998	798.13	5000.0	912.05	Jul-10	165.17	Jun-07	INDIVIDUAL	0.043286
39779	92507	92502	5000	5000	250.0	36 months	7.43	155.38	A	A2	1 year	OWN	85000.0	Not Verified	Jul-07	Fully Paid	n	537xx	WI	0.31	0	Oct-97	0	7	0	216	0.6	19	f	5593.626092	279.68	5000.0	593.63	Jul-10	156.29	Jun-07	INDIVIDUAL	0.043286
39780	92402	92390	5000	5000	700.0	36 months	8.70	158.30	B	B1	5 years	MORTGAGE	75000.0	Not Verified	Jul-07	Fully Paid	n	804xx	CO	15.55	0	May-94	0	10	0	66033	23.0	29	f	5698.603286	797.80	5000.0	698.60	Jul-10	159.83	Nov-14	INDIVIDUAL	0.043286
39781	92187	92174	2500	2500	1075.0	36 months	8.07	78.42	A	A4	4 years	MORTGAGE	110000.0	Not Verified	Jul-07	Fully Paid	n	802xx	CO	11.33	0	Nov-90	0	13	0	7274	13.1	40	f	2822.969293	1213.88	2500.0	322.97	Jul-10	80.90	Jun-10	INDIVIDUAL	0.043286
39782	90665	90607	8500	8500	875.0	36 months	10.28	275.38	C	C1	3 years	RENT	18000.0	Not Verified	Jul-07	Fully Paid	n	274xx	NC	6.40	1	Dec-86	1	6	0	8847	26.9	9	f	9913.491822	1020.51	8500.0	1413.49	Jul-10	281.94	Jul-10	INDIVIDUAL	0.043286
39783	90395	90390	5000	5000	1325.0	36 months	8.07	156.84	A	A4	< 1 year	MORTGAGE	100000.0	Not Verified	Jul-07	Fully Paid	n	017xx	MA	2.30	0	Oct-98	0	11	0	9698	19.4	20	f	5272.161128	1397.12	5000.0	272.16	Apr-08	0.00	Jun-07	INDIVIDUAL	0.043286
39784	90376	89243	5000	5000	650.0	36 months	7.43	155.38	A	A2	< 1 year	MORTGAGE	200000.0	Not Verified	Jul-07	Fully Paid	n	208xx	MD	3.72	0	Nov-88	0	17	0	85607	0.7	26	f	5174.198551	672.66	5000.0	174.20	Jan-08	0.00	Jun-07	INDIVIDUAL	0.043286
39785	87023	86999	7500	7500	800.0	36 months	13.75	255.43	E	E2	< 1 year	OWN	22000.0	Not Verified	Jun-07	Fully Paid	n	027xx	MA	14.29	1	Oct-03	0	7	0	4175	51.5	8	f	9195.263334	980.83	7500.0	1695.26	Jun-10	256.59	Jun-10	INDIVIDUAL	0.043286

Overview

Variables

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Decimal Number

Space Separator

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Uppercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Uppercase Letter

Decimal Number

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Lowercase Letter

Math Symbol

Space Separator

Most occurring scripts

Most frequent character per script

Common

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Uppercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category